Berry, Michael J. A <br/><br/>
Data mining techniques:  For marketing, sales, and customer relationship management 
Michael J.A. Berry, Gordon S. Linoff 
 - 2nd ed 
 - Indianapolis  Wiley Publishing  c2004 
 - xxv, 643 p  ill  24 cm 
<br/><br/> Contine Index 
<br/><br/>Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work 
<br/><br/><br/>eng 
<br/><br/><label>ISBN: </label>0471470643 (paper/website) 
<br/><br/><label>LCCN: </label>2003026693 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining<br/>Marketing--Data processing<br/>Business--Data processing
<br/><br/><label>Dewey Class. No.: </label>658.802